Early work on denoising point clouds is done in Parameterization-free Projection for Geometry Reconstruction [1]} which uses the LOP operator for surface prediction.
In addition, this method introduces a regularization term to move the point near to the surface.
[2]} proposes weighted LOP (WLOP) to get a denoised and evenly distributed point cloud.
In addition, it also estimates the point normals.
Since these methods work well but fail at very sharp edges, [3]} introduces edge aware resampling to preserve the features at sharp edges.
It first resamples points away from edges and calculate the normals.
Based on these reliable points and normals, it progressively resamples towards the edges.
L0 Minimization [4]} takes point cloud and normals as input and resamples it such that all point lies on the surface with correct normals.
